ArticleNMR in biomedicine2023
A machine learning approach that measures pH using acidoCEST MRI of iopamidol.
Article in NMR in biomedicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- CEST MRI: Translational prospects for intervertebral disc degeneration - from basic research to clinical applications.Journal of orthopaedic translation · 2026Review
- Brain Tumor Imaging with Iopamidol CEST MRI: In Vivo Detection and Validation.Chemical & biomedical imaging · 2026Article
- pH sensing and inflammation: linking acidic microenvironments to immune reprogramming.Frontiers in immunology · 2026Review
- Development and Validation of Four Different Methods to Improve MRI-CEST Tumor pH Mapping in Presence of Fat.Journal of imaging · 2024Article
- Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Tumor acidosis is an important biomarker for aggressive tumors, and extracellular pH (pHe) of the tumor microenvironment can be used to predict and evaluate tumor responses to chemotherapy and immunotherapy. AcidoCEST MRI measures tumor pHe by exploiting the pH-dependent chemical exchange saturation transfer (CEST) effect of iopamidol, an exogenous CT agent repurposed for CEST MRI. However, all pH fitting methodologies for acidoCEST MRI data have limitations. Herein we present results of the application of machine learning for extracting pH values from CEST Z-spectra of iopamidol. We acquired 36,000 experimental CEST spectra from 200 phantoms of iopamidol prepared at five concentrations, five T
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